Below you will find pages that utilize the taxonomy term “AWS”
2022#21 Readings 🇺🇦🌻3 minutes read | 503 words
Playing with stable diffusion on your own machine is great.
2022#19 Readings 🇺🇦🌻3 minutes read | 567 words
Slowly, very slowly, cleaning up my reading list.
2022#16 Readings 🇺🇦🌻4 minutes read | 722 words
Spent a week in Switzerland… and on the flight back caught COVID.
2022#04 Readings5 minutes read | 926 words
RIP Michael (originally Marvin) Lee Aday, Meat Loaf 🤘
2021#20 Readings5 minutes read | 1046 words
I had a very entertaining week.
2020#14 Readings5 minutes read | 906 words
This past week has been Data+AI Summit, so there are several new product announcements from Databricks.
UTF-8 Issues between AWS Redshift and Apache Spark when COPY PARQUET2 minutes read | 343 words
Timezones and UTF are rocks you repeatedly hit in your data journey.
Configuring log4j properties in Databricks (and EMR)4 minutes read | 648 words
Managing logging in Spark ain’t easy, and is even harder in managed clouds like Databricks or EMR.
Find-the-gap with SQL in AWS Redshift3 minutes read | 632 words
A relatively common type of query for time-based SQL tables is a find the gap query. How can you do this in AWS Redshift, which does not have the SQL function
2020#58 Readings4 minutes read | 739 words
I have read quite a bit this week, I’m also preparing a summary of the RDD paper.